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{
  "_name_or_path": "bert-base-uncased",
  "architectures": [
    "BertForSequenceClassification"
  ],
  "attention_probs_dropout_prob": 0.1,
  "classifier_dropout": null,
  "gradient_checkpointing": false,
  "hidden_act": "gelu",
  "hidden_dropout_prob": 0.1,
  "hidden_size": 768,
  "id2label": {
    "0": "Economic Concerns",
    "1": "Racial discrimination or polarization",
    "2": "Leadership weaknesses",
    "3": "Development and infrastructure gaps",
    "4": "Corruption",
    "5": "Political instablility",
    "6": "Socials and Public safety",
    "7": "Administration",
    "8": "Education",
    "9": "Religion issues",
    "10": "Environmental"
  },
  "initializer_range": 0.02,
  "intermediate_size": 3072,
  "label2id": {
    "Economic Concerns": 0,
    "Racial discrimination or polarization": 1,
    "Leadership weaknesses": 2,
    "Development and infrastructure gaps": 3,
    "Corruption": 4,
    "Political instablility": 5,
    "Socials and Public safety": 6,
    "Administration": 7,
    "Education": 8,
    "Religion issues": 9,
    "Environmental": 10
  },
  "layer_norm_eps": 1e-12,
  "max_position_embeddings": 512,
  "model_type": "bert",
  "num_attention_heads": 12,
  "num_hidden_layers": 12,
  "pad_token_id": 0,
  "position_embedding_type": "absolute",
  "problem_type": "single_label_classification",
  "torch_dtype": "float32",
  "transformers_version": "4.18.0",
  "type_vocab_size": 2,
  "use_cache": true,
  "vocab_size": 30522
}